Arbitrary Multi-Resolution Polynomial Chaos python toolbox
aMR-PC python code GitLab URL and Github URL Python implementation of arbirtrary multi-resolution polynomial chaos and multi-wavelets
aMRPC: contains python package
tests: contains test input data in tests/data and several .py tests.
Please cite the article:
Ilja Kröker, Sergey Oladyshkin, Arbitrary multi-resolution multi-wavelet-based polynomial chaos expansion for data-driven uncertainty quantification. Reliability Engineering & System Safety, Volume 222, 2022, 108376, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108376.
Also used in following publications:
Rebecca Kohlhaas; Ilja Kröker; Sergey Oladyshkin; Wolfgang Nowak Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark Comput Geosci (2023). https://doi.org/10.1007/s10596-023-10199-1
Ilja Kroeker, Sergey Oladyshkin, Iryna Rybak Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems. https://doi.org/10.21203/rs.3.rs-1742793/v1